Google Analytics is one of the most widely used web analytics platforms for businesses working to understand web traffic trends. Google Analytics integrates with many other business applications and data sources, but for some organizations, these integrations are difficult to set up for more complex platforms like data warehouses and lakes.

Fortunately, a number of leading data integration and ETL companies offer accessible connectors, tools, and support specific to Google Analytics integrations.

We'll cover some of the best Google Analytics ETL tools in our guide, but before we dive in, here are the key things to know about ETL tools for Google Analytics:

  • While you can custom-code ETL, these ETL tools make it easier to get quick and error-free integration results.
  • Most Google Analytics ETL providers offer detailed documentation for easier setup.
  • Tools like not only offer connectors and clear use cases for Google Analytics ETL but also have a deep library of low-code business integrations.
  • If you've never worked on an ETL project before, look for an ETL vendor with highly-rated customer support.
  • Using an ETL tool with Google Analytics is the best way to ensure web traffic data is accurately factored into big data stores and broader analytics projects.

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What Are Google Analytics ETL Tools?

Google Analytics ETL tools are extract, transform, and load (ETL) platforms that offer connectors and support for smoother Google integration and data unification projects. With the help of an effective Google Analytics ETL tool, users can easily connect web traffic data to data warehouses, lakes, and other big-data storage systems, making it possible to more easily interpret and integrate GA data into greater analytical initiatives and business predictions.

How to Evaluate Google Analytics ETL Tools

Choosing the best ETL tool for Google Analytics data integration projects can be a difficult task. To help your team more effectively evaluate your options, here are the key things to consider:

Key Features

You shouldn't select an ETL tool that doesn't include prebuilt features that support Google Analytics ETL projects. For the best possible results, look for tools that natively offer Google Analytics connector(s), documentation, and a range of relevant third-party application integrations.

Ease of Use

ETL platforms should make the integration process more straightforward, regardless of data source or destination. Look for low-code/no-code interfaces, extensive documentation that focuses on setup and troubleshooting, and a top-tier customer support structure.


ETL tools can quickly get pricey, especially when working with larger data quantities. Pay close attention to different pricing tiers among GA ETL competitors and consider in advance what you're willing to pay.


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Rating: 4.3/5 (G2)

Key Features: is a data integration and ETL platform that specifically offers connectors and support for Google Analytics ETL. While users most commonly connect GA to Google BigQuery, Snowflake, MySQL, and Amazon Redshift, dozens of other business application connectors are also available. Many buyers ultimately select for its ease of use and its accessible and professional approach to customer support.'s is modularly priced. For ETL and Reverse ETL, pricing starts at $15,000 per year with a free trial option.

2. Stitch

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Rating: 4.5/5 (G2)

Key Features:

  • Data warehouse replication
  • Developer-friendly interface and reports
  • Standard and Stitch-certified data sources
  • Singer open-source framework for data extraction
  • Anchor and advanced scheduling for replication

Stitch, now owned by Talend, is a leading ETL service provider that focuses on the needs of developers, offering an extensible REST API and user access to the Singer project for open-source data extraction. For Google Analytics in particular, Stitch can integrate GA data into a variety of data warehouse environments.

The traditional trial length for Stitch is 14 days, but the company is currently running a deal for two months of free access to the Standard plan. The Standard plan starts at $100 billed monthly or $1,000 billed annually for 5 million data rows.

3. Hevo Data

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Rating: 4.3/5 (G2)

Key Features:

  • Cross-channel data unification
  • No-code interface
  • Native integrations for data warehouses and BI tools
  • Automated error flagging and resolution
  • Compliance-driven data encryption

Hevo Data is a leading ETL and no-code data pipeline that users select for its balance of robust features, data security and compliance, and ease of use. Customers are particularly impressed with the smooth integration Hevo offers between GA and Google BigQuery as well as the speed with which GA can be integrated with data stores and other Google tools.

Hevo Data is available in a free tier plan that includes 1 million events and more than 50 free connector options, including Google Analytics 360.

4. Talend Open Studio

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Rating: 4.4/5 (G2)

Key Features:

  • Graphical data profiles
  • Open source
  • Flexible integrations
  • Data pipeline building
  • File management

Talend Open Studio is a free, open-source version of the Talend platform that supports customizable ETL projects. While the tool does not necessarily have Google Analytics connectors or data sources natively, it is designed to give developers the freedom to set up their own connections to whatever tools they use most.

Open Studio is free to use; users also have the option to upgrade to Talend Cloud if they need more resources later.

5. Fivetran

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Rating: 4.2/5 (G2)

Key Features:

  • More than 300 prebuilt connectors
  • No-code interface
  • Reporting-layer API connection
  • Two-day rollback data sync
  • Prebuilt and custom schema reports

Fivetran is an efficient ETL platform that many users choose for its reliable data syncs, high data replication speeds, and range of data connectors. For Google Analytics, Fivetran has a dedicated connector with connector docs, multiple cloud-based destination options, and a no-code interface.

Fivetran is available in several plan options, including the Free plan that works for users who need Standard plan features for a smaller data quantity.

6. Airbyte

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Rating: 4.5/5 (G2)

Key Features:

  • Open-source ELT
  • More than 350 data connectors
  • Connector Development Kit
  • Self-hosting and cloud-hosting options
  • Database and API replication

Airbyte focuses more on ELT than ETL, however, it offers many features and functions that lend it to Google Analytics integration projects. Most significantly, Airbyte provides users with more than 350 data connectors, which is more than most competitors in this market. Users can also benefit from a self-service connector development kit if they can't find what they need.

Airbyte is available in three different formats: Airbyte Cloud, Airbyte Self-Managed, and Powered by Airbyte.

The most affordable option is the self-managed Community plan, which is free and open source for small data volumes.

7. Panoply

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Rating: 4.5/5 (G2)

Key Features:

  • Google Analytics Snap Connector
  • SQL workbench
  • BI tool and data warehouse connectors
  • Embedded graphs and charts
  • Automated data type detection

Panoply is a cloud data platform with connectors and SQL management features for a number of popular business tools, including Google Analytics. Users often select Panoply for its user-friendly interface, easy-to-use data controls, and automations.

Panoply pricing starts at $389 billed monthly or $299 per month, billed annually, for 10 million rows per month.

8. Analytics Canvas

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Rating: 4.6/5 (G2)

Key Features:

  • GA4 BigQuery SQL connector, builder, and generator
  • No-code workflow builder
  • Connectors for Google Analytics 4, Universal Analytics, and Google Analytics 360
  • Data source blending
  • Google Analytics data backup support

Analytics Canvas is a data management platform that specializes in connectors, APIs, and ETL tools for different versions of Google Analytics. Many users select this tool for its detailed documentation and its GA4 BigQuery connector. Pricing starts at $49 per month.

9. Skyvia

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Rating: 4.8/5 (G2)

Key Features:

  • ETL, ELT, and reverse ETL
  • No-code pipeline building
  • REST API access
  • Integration scheduling
  • On-premises integration capabilities

Skyvia is a no-code platform that supports ETL, ELT, and reverse ETL for Google Analytics. Users can benefit from the platform's many prebuilt connectors for GA that span across BI, data warehouses, and other business and marketing applications. A free version of Skyvia is available.

10. Zuar Runner

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Rating: --/5 (G2)

Key Features:

  • Automated data pipeline
  • Full Google Analytics dataset access
  • Table-building for advanced analytics
  • ETL and ELT
  • JSON-credentials-based authentication

Zuar Runner is an ELT and ETL solution that users frequently select for its data staging and visualization capabilities. It's also a strong option for Google Analytics users who need to set up on-premises data integrations. Pricing information for Runner is only available upon request. Unlock the Power of Data

Compared to many other Google Analytics ETL providers, focuses heavily on the customer experience, ensuring low-code/no-code self-service features, detailed webinars and documentation, and 24/7 hands-on customer support are available to all users at all stages of Google Analytics ETL.

Interested in learning more? Book a demo with today. Google Analytics ETL Tool FAQs

What is an ETL Tool?

An Extract, Transform, Load (ETL) tool is a software solution designed to facilitate the extraction, transformation, and loading of data from various sources into a unified destination. It benefits your data processes by automating these tasks, ensuring data accuracy, and enabling seamless integration and analysis across different data sources.

How do ETL Tools Integrate with Various Data Sources?

ETL tools connect with different data sources through various connectors or APIs, enabling the extraction and transformation of a wide range of data types. This data can include structured and unstructured data, databases, cloud storage, and more, making ETL tools versatile for a variety of data integration and analysis needs.

What are the Key Features to Consider When Selecting an ETL Tool?

When choosing an ETL tool for data integration and analysis, consider features such as data transformation capabilities, data source connectivity, automation options, scalability, and monitoring and reporting tools. These features are important for optimizing data processes and gaining valuable insights from your integrated data.